Architectural AI/ML Engineer Intern

Genia; Los Angeles (CA); On-site; USD 27,552 - 44,083; Part time

Job summary

Genia in Los Angeles, CA, seeks an AI/ML Engineer – Architectural Modeling (Intern) to contribute to computer vision on architectural drawings. You will assist in developing and testing models, preprocess data, and collaborate with senior engineers to integrate results into the Structural AI Agent.

This internship emphasizes hands-on work with CV techniques, deep learning models (CNN, U‑Net, YOLO), and tools like PyTorch, OpenCV, and CAD data formats.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computer Vision, or a related field.
• Experience from courses, internships, or projects in computer vision, image processing, or machine learning is preferred.

Responsibilities

• Assist in developing and testing computer vision models for detecting and segmenting elements in architectural drawings.
• Apply and experiment with classic CV techniques (edge detection, contour analysis, shape recognition) on drawing data.
• Train and evaluate deep learning models (CNN, U‑Net, YOLO, Mask R‑CNN) under guidance of senior engineers.
• Support the data preparation pipeline, including DWG preprocessing, rasterization, augmentation, and dataset annotation.
• Document experimental processes, benchmark results, and share insights with the team.
• Collaborate with engineers and researchers to integrate models into our Structural AI Agent.

Skills

Python

PyTorch

TensorFlow

OpenCV

NumPy

Pandas

Jupyter Notebook

Git

Shapely

CAD data (DWG/DXF)

Education

Bachelor’s or Master’s in CS/AI/Computer Vision

Tools

DWG

DXF

OpenCV

Job description

Genia in Los Angeles, CA, seeks an AI/ML Engineer – Architectural Modeling (Intern) to contribute to computer vision on architectural drawings. You will assist in developing and testing models, preprocess data, and collaborate with senior engineers to integrate results into the Structural AI Agent.

This internship emphasizes hands-on work with CV techniques, deep learning models (CNN, U‑Net, YOLO), and tools like PyTorch, OpenCV, and CAD data formats.